• @misspacific
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    173 months ago

    exactly, this will eliminate some jobs, but anyone who’s asked an LLM to fix code longer than 400 lines knows it often hurts more than it helps.

    which is why it is best used as a tool to debug code, or write boilerplate functions.

    • @Ragnarok314159@sopuli.xyz
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      103 months ago

      Do you think AI for programmers will be like CAD was for drafters? It didn’t eliminate the position, but allows fewer people to do more work.

      • @misspacific
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        103 months ago

        this is pretty much what i think, yeah.

        a lot of programming/software design is already kinda that anyway. it’s a bunch of people who were educated on computer science principles, data structures, mathematicians, and data analytics/stats who write code to specs to solve very specific tool problems for very specific subsets of workers, and who maintain/update legacy code written decades ago.

        now, yeah, a lot things are coded from scratch, but even then, you’re referencing libraries of code written by someone awhile ago to solve this problem or serve this purpose or do thing, output thing. that’s where LLMs shine, imo.

    • @hansl@lemmy.world
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      3 months ago

      You’ll get blindsided real quick. AIs are just getting better. OpenAI are already saying they moved past GPT for their next models. It’s not 5 years before it can fix code longer than 400 lines, and not 20 before it can digest a specification and spout a working software. Said software might not be optimized or pretty, but those are things people can work separately. Where you needed 20 software engineers, you’ll need 10, then 5, then 1-2.

      You have more in common with the guy getting replaced today than you care to admit in your comment.

      Edit: not sure why I’m getting downvoted instead of having a discussion, but good luck to you all in your careers.

      • @misspacific
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        73 months ago

        i didn’t downvote you, regardless internet points don’t matter.

        you’re not wrong, and i largely agree with what you’ve said, because i didn’t actually say a lot of the things your comment assumes.

        the most efficient way i can describe what i mean is this:

        LLMs (this is NOT AI) can, and will, replace more and more of us. however, there will never, ever be a time where there will be no human overseeing it because we design software for humans (generally), not for machines. this requires integral human knowledge, assumptions, intuition, etc.

        • @hansl@lemmy.world
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          3 months ago

          LLMs (this is NOT AI)

          I disagree. When I was studying AI at college 20+ years ago we were also talking about expert systems which are glorified if/else chains. Most experts in the field agree that those systems can also be considered AI (not ML though).

          You may be thinking of GAI or Universal AI which is different. I am a believer in the singularity (that a machine will be as creative and conscious as a human), but that’s a matter of opinion.

          I didn’t downvote you

          I was using “you” more towards the people downvoting me, not you directly. You can see the accounts who downvoted/upvoted, btw.

          Edit: and I assumed the implication of your comment was that “people who code are safe”, which is a stretch I was answering to. Your comment was ambiguous either way.

          • @misspacific
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            63 months ago

            jesus christ you should be shoved into a locker

            • @hansl@lemmy.world
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              23 months ago

              Wow. Thanks for the advice. I guess that’s just Lemmy showing me the door. Good luck with your community here.

              • @Welt@lazysoci.al
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                23 months ago

                Try not to let the bot hurt your feelings, it was trained on cunts ‘n’ assholes

      • @aesthelete@lemmy.world
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        3 months ago

        Where you needed 20 software engineers, you’ll need 10, then 5, then 1-2.

        It’s an open secret that this is already the case. I have seen projects that went on for decades and only required the engineering staff they had because corporate bureaucracy and risk aversion makes everyone a fraction as effective as they could be, and, frankly, because a lot of ineffective morons got into software development because of the $$$ they could make.

        Unless AI somehow eliminates corporate overhead I don’t understand how it’ll possibly make commercial development monumentally easier.